UiPath-AAAv1 sample questions

Question 1

A financial services firm is implementing an automated loan approval process. The process requires analyzing unstructured borrower emails, extracting intent, and conditionally retrieving credit reports from a legacy mainframe system via an existing RPA automation. However, the final approval decision involves weighing qualitative factors from the email against the quantitative credit score, a task that varies significantly per case. Which architectural approach best leverages the synergy between Agentic AI and traditional RPA for this scenario?

Accepted Answer

Implement an Agentic Workflow where an AI Agent acts as the orchestrator: it analyzes the email, invokes the RPA robot as a 'tool' to fetch the credit score, and then synthesizes both data points to recommend a decision.

Answer

Deploy a single Generative AI model to handle both the email analysis and the mainframe interaction directly via API calls.

Answer

Use a traditional RPA robot to process the emails using RegEx and trigger the mainframe lookup, then forward all cases to a human for the final decision.

Answer

Configure UiPath Maestro to run a BPMN process that strictly alternates between an RPA robot for email reading and an AI Agent for mainframe data entry.

Question 2

You are assessing a complex Customer Support process for potential Agentic Automation. The process involves technicians diagnosing hardware issues based on vague customer descriptions, consulting dynamic PDF technical manuals, and scheduling on-site visits. The legacy scheduling system has no API but has a reliable web interface. Why is this process a prime candidate for an Agentic solution rather than pure Generative AI or traditional RPA?

Accepted Answer

Because the process requires probabilistic reasoning to diagnose issues (Agent strength) combined with the ability to execute actions in a system via tools (Agent capability), which pure GenAI lacks.

Answer

Because Generative AI cannot read PDF files and RPA cannot access web interfaces without APIs.

Answer

Because traditional RPA is incapable of scraping text from web interfaces, requiring an Agent's vision capabilities.

Answer

Because Agentic Automation is cheaper to license than the combination of Document Understanding and Orchestrator Robots.

Question 3

When designing an Agent Blueprint for a 'Travel Concierge' agent, you need to define the System Prompt. Which of the following components should be included in the System Prompt to ensure the agent behaves consistently and securely?

Accepted Answer

The agent's persona (e.g., 'You are an experienced travel agent').

Accepted Answer

Operational constraints (e.g., 'Do not book flights costing over $2000 without escalation').

Answer

The specific travel dates requested by the current user.

Answer

The API key for the flight booking system.

Question 4

A developer is configuring Context Grounding for an HR Policy Agent. The agent must answer employee questions based on a specific set of 50 PDF documents stored in a UiPath Storage Bucket. The developer wants to ensure the agent cites the specific policy section when answering. Which configuration step is essential to achieve this RAG (Retrieval-Augmented Generation) pattern?

Accepted Answer

Create an Index in the Context Grounding service, ingest the files from the Storage Bucket, and map this Index to the Agent's context property.

Answer

Train a custom LLM model using the 50 PDFs and deploy it to AI Center.

Answer

Convert all PDFs to text and paste the content into the Agent's System Prompt.

Answer

Use the 'Read PDF Text' activity in a loop and pass the output variable to the 'Generate Chat Response' activity.

Question 5

In a 'Claims Processing' agent, you need to implement a Human-in-the-Loop (HITL) pattern. The agent should automatically approve claims under $500 but must escalate claims over $500 or claims with 'Suspicious' fraud flags to a human manager. What is the correct logic implementation for this escalation?

Accepted Answer

Configure a 'Create Action' task within the agent's toolset and instruct the agent to invoke this tool when the claim amount > $500 OR fraud_flag equals 'Suspicious'.

Answer

Instruct the Agent in the System Prompt to 'Stop and output error' if the amount is > $500.

Answer

Use a deterministic 'If' activity in the underlying RPA workflow to check the amount before the Agent is even called.

Answer

The agent automatically detects high-value transactions based on historical data and pauses execution without configuration.

Question 6

You are designing an evaluation strategy for a 'Customer Email Reply' agent. You want to ensure the agent's responses are not only factually correct based on the provided context but also maintain a 'Professional and Empathetic' tone. Which combination of evaluation methods is most appropriate?

Accepted Answer

Model-graded evaluation for both tone and factual consistency against the context.

Answer

Deterministic evaluation for tone and Model-graded evaluation for factual accuracy.

Answer

Exact Match (Deterministic) evaluation for the entire email body.

Answer

Manual review of 100% of generated emails in production.

Question 7

When engineering a prompt for a complex data extraction task, you notice the model occasionally hallucinates fields that don't exist. You decide to include three examples of correct input-output pairs within the prompt to guide the model. What is this prompting technique called?

Accepted Answer

Few-shot prompting

Answer

Zero-shot prompting

Answer

Chain-of-Thought prompting

Answer

Negative prompting

Question 8

You are creating a tool in UiPath Studio Web for an agent to look up order status. The underlying API returns a complex JSON object with 50 fields, but the agent only needs the 'Status' and 'DeliveryDate'. How should you design the tool's Output Schema to optimize the agent's performance and token usage?

Accepted Answer

Define a strict Output Schema containing only the 'Status' and 'DeliveryDate' fields, filtering out the unnecessary data before it reaches the agent.

Answer

Define the Output Schema as 'Any' or 'Object' to allow the agent to see the full raw API response.

Answer

Pass the entire JSON response as a string variable.

Answer

Create two separate tools, one for Status and one for DeliveryDate.

Question 9

In UiPath Maestro, you are modeling a business process using BPMN. You have a task where an AI Agent needs to draft a response to a customer, but the process cannot proceed until the draft is created. Which configuration should you apply to the Service Task representing the Agent?

Accepted Answer

Use a 'Service Task' and select the 'Start and wait for agent' option.

Answer

Configure the task type as 'User Task' and assign it to the Agent user group.

Answer

Use a 'Service Task' and select the 'Start agent' option, allowing the process to continue immediately.

Answer

Use a 'Script Task' to call the Agent's API endpoint directly.

Question 10

Which of the following scenarios is the most appropriate use case for 'Autopilot for Everyone'?

Accepted Answer

A business user needs to quickly summarize a long email thread and draft a response based on the key points.

Answer

Orchestrating a complex, multi-departmental invoice approval workflow involving 50 robots and 20 agents.

Answer

Running a high-volume unattended background process for data migration.

Answer

Designing a new BPMN workflow structure for the entire organization.

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